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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 377
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -0.78
     Debor
    -0.74
    detail
    -0.73
    locks
    -0.73
     Cosponsors
    -0.68
    rations
    -0.66
    mble
    -0.66
    manship
    -0.66
    rals
    -0.65
    ilater
    -0.65
    POSITIVE LOGITS
    utenant
    1.22
    zzle
    1.19
    ptin
    1.18
    uci
    0.99
    pper
    0.95
    ars
    0.92
    udic
    0.92
    veland
    0.90
    pton
    0.88
    ppe
    0.86
    Activations Density 0.007%

    No Known Activations